AIM 2020 Challenge on Video Temporal Super-Resolution

Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee, Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong, Woonsung Park, Wonyong Seo, Munchurl Kim, Wenhao Zhang, Pablo Navarrete Michelini, Kazutoshi Akita, Norimichi Ukita

ECCVW 2020 pp. 23-40

doi:10.1007/978-3-030-66823-5_2 /eccvw/2020/son2020eccvw-aim/

Abstract

Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis. From low-frame-rate (15 fps) videos, the challenge participants are required to submit higher-frame-rate (30 and 60 fps) sequences by estimating temporally intermediate frames. To simulate realistic and challenging dynamics in the real-world, we employ the REDS_VTSR dataset derived from diverse videos captured in a hand-held camera for training and evaluation purposes. There have been 68 registered participants in the competition, and 5 teams (one withdrawn) have competed in the final testing phase. The winning team proposes the enhanced quadratic video interpolation method and achieves state-of-the-art on the VTSR task.

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Cite

Text

Son et al. "AIM 2020 Challenge on Video Temporal Super-Resolution." European Conference on Computer Vision Workshops, 2020. doi:10.1007/978-3-030-66823-5_2

Markdown

[Son et al. "AIM 2020 Challenge on Video Temporal Super-Resolution." European Conference on Computer Vision Workshops, 2020.](https://mlanthology.org/eccvw/2020/son2020eccvw-aim/) doi:10.1007/978-3-030-66823-5_2

BibTeX

@inproceedings{son2020eccvw-aim,
  title     = {{AIM 2020 Challenge on Video Temporal Super-Resolution}},
  author    = {Son, Sanghyun and Lee, Jaerin and Nah, Seungjun and Timofte, Radu and Lee, Kyoung Mu and Liu, Yihao and Xie, Liangbin and Li, Siyao and Sun, Wenxiu and Qiao, Yu and Dong, Chao and Park, Woonsung and Seo, Wonyong and Kim, Munchurl and Zhang, Wenhao and Michelini, Pablo Navarrete and Akita, Kazutoshi and Ukita, Norimichi},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2020},
  pages     = {23-40},
  doi       = {10.1007/978-3-030-66823-5_2},
  url       = {https://mlanthology.org/eccvw/2020/son2020eccvw-aim/}
}